Unlock instant, AI-driven research and patent intelligence for your innovation.

Double closed loop rbf neural network sliding mode variable structure adaptive control system

A sliding mode variable structure and adaptive control technology, applied in the control/regulation system, regulating electrical variables, converting DC power input to DC power output, etc., can solve problems such as poor control effect of Buck converter, and reduce the impact , without loss of robustness

Active Publication Date: 2019-09-17
HANGZHOU DIANZI UNIV
View PDF7 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] In view of this, the present invention proposes a double-closed-loop RBF neural network sliding mode variable structure adaptive control system, thereby solving the problem of poor control effect of the existing Buck converter and realizing good output performance of the Buck converter

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Double closed loop rbf neural network sliding mode variable structure adaptive control system
  • Double closed loop rbf neural network sliding mode variable structure adaptive control system
  • Double closed loop rbf neural network sliding mode variable structure adaptive control system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0048] The technical solutions provided by the present invention will be further described below in conjunction with the accompanying drawings.

[0049] Today, the research on DC-DC converters is roughly divided into two directions: one is to study a new converter topology to improve the power conversion efficiency; the other is to optimize the existing control algorithm or design a new one. A control strategy with good control performance and strong robustness is used to achieve superior output performance of the system and improve system efficiency and stability.

[0050] The main research content of the present invention is to analyze and compare various commonly used control algorithms of Buck type DC-DC converters, find out the control strategy suitable for the Buck converter system on this basis, and combine with advanced control algorithms, A control scheme with superior performance and strong robustness is proposed to improve the output performance of the converter, an...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a double-closed-loop RBF neural network sliding mode variable structure self-adaptive control system. The controller controls the Buck converter to stabilize the output voltage to preset reference output voltage. Compared with the existing technology, the boundary layer sliding mode control technology is adopted to reduce chattering generated in the sliding mode variable structure control process. At the same time, aiming at the uncertainty problem caused by system parameter changes and external unknown disturbances during the working process of the Buck converter, the state equation of the Buck converter is described more precisely; and, for the uncertainty of the system, the present invention is Based on the designed sliding mode variable structure controller, adaptive control is added, which can adapt to the external environment and minimize the impact of various disturbances in the external environment on the Buck converter without losing robustness.

Description

technical field [0001] The invention belongs to the field of automatic control of DC-DC converters, in particular to a double closed-loop RBF neural network sliding mode variable structure self-adaptive control system of Buck type DC-DC converters. Background technique [0002] With the development of human society, people's demand for electric energy continues to increase, and at the same time, the quality requirements for electric energy are also continuously improved. Therefore, the processing and conversion of electric energy has become an indispensable part of human life in social development. The processing and transformation of electric energy plays an increasingly important role in the utilization of electric energy, so its processing and transformation methods have become a hot spot in the field of research. [0003] According to the power conversion type, the power processing device can divide the switching converter into the following basic forms: AC / DC (rectific...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): H02M3/156H02M1/32
Inventor 陈龙卢旺樊凌雁杨柳郑雪峰
Owner HANGZHOU DIANZI UNIV